Despite
the considerable success of contemporary associative models of learning
in stimulating new behavioral research and modest success in providing
direction to both neuroscience and psychotherapy, these models are
confronted with at least three challenges. The first challenge is
to the assumption that animals encode only one or a few summary
statistics to capture what has been experienced over many training
trials. This assumption is contrary to overwhelming evidence that
the brain retains episodic information. The second challenge is
that the learning-performance distinction has been largely ignored.
Most models erroneously assume that behavior is a nearly perfect
reflection of what has been encoded. The third challenge is to account
for interactions between stimuli that have been presented separately
(e.g., stimulus interference) as well as between stimuli that have
been presented together (e.g., stimulus competition). |
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